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DRL-Robot-Navigation-ROS2

Public

Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

deep-learningdeep-neural-networksdeep-reinforcement-learningobstacle-avoidanceobstacle-avoidance-robotreinforcement-learningrobot-navigationros2sactd3
Creat：2024-03-01T05:49:41
Update：2025-03-25T17:26:30
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